Matches in SemOpenAlex for { <https://semopenalex.org/work/W2736714887> ?p ?o ?g. }
- W2736714887 endingPage "492" @default.
- W2736714887 startingPage "492" @default.
- W2736714887 abstract "The current astringency evaluation for herbs has become dissatisfied with the requirement of pharmaceutical process. It needed a new method to accurately assess astringency.First, quinine, sucrose, citric acid, sodium chloride, monosodium glutamate, and tannic acid (TA) were analyzed by electronic tongue (e-tongue) to determine the approximate region of astringency in partial least square (PLS) map. Second, different concentrations of TA were detected to define the standard curve of astringency. Meanwhile, coordinate-concentration relationship could be obtained by fitting the PLS abscissa of standard curve and corresponding concentration. Third, Chebulae Fructus (CF), Yuganzi throat tablets (YGZTT), and Sanlejiang oral liquid (SLJOL) were tested to define the region in PLS map. Finally, the astringent intensities of samples were calculated combining with the standard coordinate-concentration relationship and expressed by concentrations of TA. Then, Euclidean distance (Ed) analysis and human sensory test were processed to verify the results.The fitting equation between concentration and abscissa of TA was Y = 0.00498 × e(-X/0.51035) + 0.10905 (r = 0.999). The astringency of 1, 0.1 mg/mL CF was predicted at 0.28, 0.12 mg/mL TA; 2, 0.2 mg/mL YGZTTs was predicted at 0.18, 0.11 mg/mL TA; 0.002, 0.0002 mg/mL SLJOL was predicted at 0.15, 0.10 mg/mL TA. The validation results showed that the predicted astringency of e-tongue was basically consistent to human sensory and was more accuracy than Ed analysis.The study indicated the established method was objective and feasible. It provided a new quantitative method for astringency of herbs.The astringency of Chebulae Fructus, Yuganzi throat tablets, and Sanlejiang oral liquid was predicted by electronic tongueEuclidean distance analysis and human sensory test verified the resultsA new strategy which was objective, simple, and sensitive to compare astringent intensity of herbs and preparations was provided. Abbreviations used: CF: Chebulae Fructus; E-tongue: Electronic tongue; Ed: Euclidean distance; PLS: Partial least square; PCA: Principal component analysis; SLJOL: Sanlejiang oral liquid; TA: Tannic acid; VAS: Visual analog scale; YGZTT: Yuganzi throat tablets." @default.
- W2736714887 created "2017-07-31" @default.
- W2736714887 creator A5006423482 @default.
- W2736714887 creator A5008599644 @default.
- W2736714887 creator A5015404110 @default.
- W2736714887 creator A5018810453 @default.
- W2736714887 creator A5024344751 @default.
- W2736714887 creator A5027365502 @default.
- W2736714887 creator A5030694711 @default.
- W2736714887 creator A5058588599 @default.
- W2736714887 creator A5065236570 @default.
- W2736714887 creator A5073680763 @default.
- W2736714887 date "2017-01-01" @default.
- W2736714887 modified "2023-09-30" @default.
- W2736714887 title "A novel quantitative prediction approach for astringency level of herbs based on an electronic tongue" @default.
- W2736714887 cites W1544251614 @default.
- W2736714887 cites W1992409616 @default.
- W2736714887 cites W1995311324 @default.
- W2736714887 cites W2007279503 @default.
- W2736714887 cites W2010713810 @default.
- W2736714887 cites W2017061841 @default.
- W2736714887 cites W2019413620 @default.
- W2736714887 cites W2048286581 @default.
- W2736714887 cites W2055962935 @default.
- W2736714887 cites W2059259833 @default.
- W2736714887 cites W2064251810 @default.
- W2736714887 cites W2075763885 @default.
- W2736714887 cites W2083137699 @default.
- W2736714887 cites W2091348010 @default.
- W2736714887 cites W2113904150 @default.
- W2736714887 cites W2139852945 @default.
- W2736714887 cites W2154241399 @default.
- W2736714887 cites W2167212038 @default.
- W2736714887 cites W2191004072 @default.
- W2736714887 cites W2407327932 @default.
- W2736714887 cites W2494978731 @default.
- W2736714887 doi "https://doi.org/10.4103/pm.pm_455_16" @default.
- W2736714887 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5551371" @default.
- W2736714887 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28839378" @default.
- W2736714887 hasPublicationYear "2017" @default.
- W2736714887 type Work @default.
- W2736714887 sameAs 2736714887 @default.
- W2736714887 citedByCount "9" @default.
- W2736714887 countsByYear W27367148872019 @default.
- W2736714887 countsByYear W27367148872020 @default.
- W2736714887 countsByYear W27367148872021 @default.
- W2736714887 countsByYear W27367148872022 @default.
- W2736714887 countsByYear W27367148872023 @default.
- W2736714887 crossrefType "journal-article" @default.
- W2736714887 hasAuthorship W2736714887A5006423482 @default.
- W2736714887 hasAuthorship W2736714887A5008599644 @default.
- W2736714887 hasAuthorship W2736714887A5015404110 @default.
- W2736714887 hasAuthorship W2736714887A5018810453 @default.
- W2736714887 hasAuthorship W2736714887A5024344751 @default.
- W2736714887 hasAuthorship W2736714887A5027365502 @default.
- W2736714887 hasAuthorship W2736714887A5030694711 @default.
- W2736714887 hasAuthorship W2736714887A5058588599 @default.
- W2736714887 hasAuthorship W2736714887A5065236570 @default.
- W2736714887 hasAuthorship W2736714887A5073680763 @default.
- W2736714887 hasBestOaLocation W27367148872 @default.
- W2736714887 hasConcept C142724271 @default.
- W2736714887 hasConcept C162244969 @default.
- W2736714887 hasConcept C178790620 @default.
- W2736714887 hasConcept C185592680 @default.
- W2736714887 hasConcept C2776946002 @default.
- W2736714887 hasConcept C2779008113 @default.
- W2736714887 hasConcept C2779032678 @default.
- W2736714887 hasConcept C2779744641 @default.
- W2736714887 hasConcept C2781393965 @default.
- W2736714887 hasConcept C31903555 @default.
- W2736714887 hasConcept C43617362 @default.
- W2736714887 hasConcept C71924100 @default.
- W2736714887 hasConcept C8868529 @default.
- W2736714887 hasConceptScore W2736714887C142724271 @default.
- W2736714887 hasConceptScore W2736714887C162244969 @default.
- W2736714887 hasConceptScore W2736714887C178790620 @default.
- W2736714887 hasConceptScore W2736714887C185592680 @default.
- W2736714887 hasConceptScore W2736714887C2776946002 @default.
- W2736714887 hasConceptScore W2736714887C2779008113 @default.
- W2736714887 hasConceptScore W2736714887C2779032678 @default.
- W2736714887 hasConceptScore W2736714887C2779744641 @default.
- W2736714887 hasConceptScore W2736714887C2781393965 @default.
- W2736714887 hasConceptScore W2736714887C31903555 @default.
- W2736714887 hasConceptScore W2736714887C43617362 @default.
- W2736714887 hasConceptScore W2736714887C71924100 @default.
- W2736714887 hasConceptScore W2736714887C8868529 @default.
- W2736714887 hasIssue "51" @default.
- W2736714887 hasLocation W27367148871 @default.
- W2736714887 hasLocation W27367148872 @default.
- W2736714887 hasLocation W27367148873 @default.
- W2736714887 hasLocation W27367148874 @default.
- W2736714887 hasOpenAccess W2736714887 @default.
- W2736714887 hasPrimaryLocation W27367148871 @default.
- W2736714887 hasRelatedWork W1124642266 @default.
- W2736714887 hasRelatedWork W2051199766 @default.
- W2736714887 hasRelatedWork W2067969243 @default.
- W2736714887 hasRelatedWork W2071067442 @default.
- W2736714887 hasRelatedWork W2126345782 @default.